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7/22/2026: Trending stories on Hackernoon today!

Liquidnitro Games names ex-Tencent Games Global and EA Mobile CTO Cedrick Collomb to lead AI-powered game production. Market, executive and platform analysis.

Out of Dyson’s two new affordable stick vacuums, this one is easily my favorite.

As access to Anthropic’s and OpenAI’s frontier models becomes more restricted, Chinese labs are pitching their open-source alternatives as stable, accessible, and increasingly capable.

Elon Musk and the online right convinced themselves that Christopher Nolan’s “woke” epic would go down in flames. Now they’re crashing out.

Samsung has given us our first chance to check out its upcoming smart glasses in person, revealing two new designs and the first specs in the process, including an impressive 9-hour battery life. The glasses, developed in collaboration with Google and the eyewear brands Gentle Monster and Warby Parker, are due to launch this fall. […]

Following the MacBook Neo's huge popularity so far, Apple is reportedly developing an updated version of its budget laptop with a new processor and more memory, and even has plans to refresh the model with new colors. Following a similar report from analyst Tim Culpan earlier this year, Bloomberg's Mark Gurman says the new Neo […]

Code found in an iOS 27 beta would allow Apple to put a financed iPhone in "Restricted Mode" if it detects any missed payments, 9to5Mac reports. The finding follows a story from Bloomberg earlier this week claiming Apple is preparing to launch a new "Apple Upgrade" financing program for leasing new devices. iPhones in "Restricted […]

A number of Apple products got more expensive last month, so we’re happy to find deals wherever and whenever we can. If you’re searching for a high-end iPad, one of the more notable deals currently happening is on the 13-inch iPad Pro M5 with 512GB of storage. Normally $1,699, it’s $150 off at Amazon, costing […]

OpenAI will spend the equivalent of Sweden's GDP on infrastructure through 2030.

Substack is giving readers a way to estimate how much of a newsletter was written by AI, signaling a broader shift toward transparency around AI-assisted content.

As Chinese AI models grow in capability and popularity among U.S. companies, the arguing over what should be done about them has reached a fever pitch.

The new feature lets users wirelessly transfer more data types from an iPhone without needing to download a separate app.

The company said it is reducing its headcount by 20%, or about 630 staff, to "support a leaner, more focused operating model" as it focuses on its AI Work Platform.

Anthropic leaped to a $47 billion revenue run rate by May, compared to $9 billion in 2025. It’s the kind of growth that Menlo Ventures’ Matt Murphy says he’s never seen in 25 years of investing, not in the internet wave, not in mobile, not in the first cloud boom. Menlo led Anthropic’s $500M Series D, and Murphy has had a front-row seat as the company went from a pre-revenue, […]

Yope, a fast-growing social app focused on private groups of friends and family, has raised $12.3 million in seed funding. Instead of chasing creators and algorithmic feeds, the startup is betting that the future of social networking lies in small, private communities powered by messaging, photo sharing, and AI features designed to strengthen real-world relationships.

"The thing that the space needs is a company making $100 million a year of revenue," Science Corp. CEO Max Hodak said.

Uber is also investing in Travis Kalanick's company Atoms, which has made gauzy claims about using industrial AI to modernize the world.

OpenAI made a mistake setting up what it called a “highly isolated” testing environment and sandbox. According to cybersecurity experts, that human mistake is what made the AI-powered attack on Hugging Face possible.

SoundCloud has acquired decentralized music platform Nina Protocol, months after the startup announced it would shut down. The deal brings Nina’s artists, editorial archive, and music discovery tools to SoundCloud as the company continues expanding its platform for independent musicians.

BrassCoders writes .brass/ai_instructions.yaml after every scan — plain YAML, no proprietary encoding, no plugin required. Claude Code picks it up automatically in the project directory. Cursor and Continue users can reference it as a context file. The format is the same in all three cases: severity-sorted findings, each with a file path, line number, and remediation note. One scan, one file, three editors. What the YAML-First Pattern Is BrassCoders scans your Python codebas...

Why 2D Rotations Solved Transformer Long-Context: A Mechanics-First Look at RoPE Attention requires two things from positional encodings: Relative Distance Sensitivity: Token i attending to Token j should care primarily about how far apart they are ( i − j ), not where they sit globally in the context window. Feature Preservation: Injecting position information must not destroy or mangle the semantic embedding ...

I wrote that sentence in a Hacker News comment five months ago and it got zero engagement, which is fair, because I buried it at the bottom of a feature list. It deserves better, because it's the entire design philosophy of CORE in five words. Here's the problem it answers. Every AI coding setup eventually faces the same question: when the AI is smarter than the check, who wins? Your linter flags a pattern. The LLM explains, persuasively, why this case is an exception. Your architecture...

I started prototyping an AI assistant for CAPA triage because our backlog was burying the QA team. The idea felt obvious: have a model read an incoming nonconformance or complaint, suggest probable root-cause categories, surface related docs from the technical file, and propose a draft corrective action for a human to edit. It sped up screening in a sandbox — until the uncomfortable question landed: how do we validate this so a regulator (or my internal auditors) can accept it? If you work un...

For the last 8–9 months, I haven't written a single line of code manually. I've been building entirely with Claude Code. My day now looks something like this: Understand what the client actually needs Ask clarifying questions until the requirement is unambiguous Translate those requirements into precise instructions Review Claude's implementation Decide whether it's good enough to ship At some point I realized something surprising. I wasn't spending most of my time w...

We've all been there: you add Redis, and your latency drops. But have you planned for the Thundering Herd? The Problem A Thundering Herd occurs when a massive, synchronized search of processes or user requests hits a backend resource at once. The Pseudo-Code Risk Most of us write logic like this: let data = await cache.get(key); if (!data) { data = await db.query(query); // The Bottleneck! await cache.set(key, data); } return data; If 100k users hit this code at the sam...

High-Performance AI Swarms: Meet jcode As AI coding assistants mature, developers are moving beyond simple chat interfaces. The new standard is running multiple autonomous agents in parallel—for instance, running one agent to refactor a class, another to write unit tests, and a third to update documentation. However, running multiple agent sessions concurrently can quickly consume your machine's RAM and slow down execution. jcode is an open-source coding agent harness built in...

I asked Claude Code to add a handler for processOrders , a Lambda wired up to consume from orders-queue and read the matching row out of the Orders DynamoDB table. It wrote one immediately — confidently, in one shot, the way it writes most things. It also parsed the event body wrong. The problem: Claude Code didn't know the Lambda had an SQS trigger processOrders is invoked by orders-queue through an event source mapping — that's not in processOrders 's source file, ...

DynamoDB scales to basically infinity and costs pennies to start. But if you've built on it with TypeScript, you know the day-to-day is rough: You build partition/sort key strings by hand ( USER#${username} ) and typo them. You marshal and unmarshal every attribute ( { S: ... } , { N: ... } ). You get zero type safety — the SDK returns Record<string, AttributeValue> | undefined and wishes you luck. Single-table design — the thing you're supposed to do — is all in you...